driving platform redesign
context
Cloud Analytics Reports help clients break down and understand their Google Cloud and AWS cost. It is a powerful tool used by our customers and internally by our Account Managers to provide insights into our customers' spending.
my role
I worked on the end-to-end design process from proposing the changes, through research, design, and testing.
problem
As in the flexibility–usability tradeoff, we kept observing our beginner users being overwhelmed with our complex, powerful B2B tools. The project aims to redesign the interface to drive adoption among all our users.
solution
Instead of a complete redesign, I proposed breaking this complex problem into small, solvable chunks. Each piece was a data-driven solution to a specific problem. Small changes also meant more straightforward implementation & fewer bugs in the making.
before
after
approach
designing alignment
Design is a team sport, and everyone has different perspectives. I involved multiple stakeholders in getting diverse perspectives and creating a shared vision.
breaking down the elephant
Instead of starting a complex, scary redesign project, I proposed gradual improvements using existing patterns. We used a data-driven approach to target each opportunity. Small changes also meant more straightforward implementation & fewer bugs in the making.
design for change over time
As users become familiar with our Cloud Analytics, they start using more and more features. We mapped their journey with our platform over time and identified opportunities to improve user experience throughout their journey.
functional flows
I mapped out different elements & desired behaviours to help engineers understand the desired behaviour in different scenarios.
outcome
before
Chaotic creation flow
after
Linear creation flow
before
Most used features are hard to find among others
after
Most used features are exposed, while others are hidden under advanced options
before
Limited and hard to find options
after
More flexibility, easier selection